Senior Software Engineer

Навыки

• AI-агенты
• API (интеграции)
• AWS
• Распределённые системы
• FastAPI
• Jaeger / OpenTelemetry
• Kubernetes

О компании и продукте

• Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
• Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company.
• But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
• If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Задачи

• We're looking for an exceptional Senior Software Engineer to help build the distributed backend that powers our AI agent platform and the developer-facing products around it — the event-driven services, real-time integrations, and APIs that let agents reliably do real work
• You'll be building the systems that need to stay correct and available on our path to 1M users over the next year
• Build event-driven, horizontally-scalable backend services that process work reliably and correctly even when parts of the system fail
• Build real-time surfaces and integrations — streaming connections, gateways, and CLIs — that hold up under load
• Integrate LLMs and agentic harnesses into production systems
• Drive features end-to-end — from ideation and architecture through deployment, observability, and iteration
• Raise the engineering bar through clean, well-tested code, thoughtful reviews, and mentorship

Требования

• Qualifications / Experience / Technical Skills
• 5+ years shipping and operating production backend systems at scale
• Strong proficiency in Python, and the judgment to write clean, well-tested, maintainable code under it
• Deep distributed-systems fundamentals: you know how to keep systems correct and available under partial failure, backpressure, and load — and you design for it by default
• Hands-on experience with event-driven, streaming, or real-time systems (queues, pub/sub, long-lived connections)
• Comfortable operating services in production on Kubernetes in the cloud — and instrumenting them with metrics, tracing, and dashboards so you can debug what you ship
• Solid API and software-architecture instincts
• you make and defend sensible trade-offs in ambiguity
• LLM/agentic and developer-facing product experience (MCP, RAG, APIs, SDKs, CLIs) a strong plus
• Our stack: Python, FastAPI, Postgres, Kubernetes, AWS. You don't need prior experience with all of it — we care that you can pick it up fast
• Soft Skills / Personal Characteristics
• High agency and ownership: You drive work end-to-end, from ambiguity to shipped and iterated, without waiting to be told
• A reliability mindset: You design for failure, not just the happy path
• Product-minded: You care about the users using what you build, not just the system behind it
• AI-native: You use modern AI tooling (e.g., Claude Code) in your daily workflow and stay at the cutting edge of what it can do
• Excellent written communication: We work async and write things down

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